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Lead Data Analytics Engineer Jobs in Washington (NOW HIRING)

VHB

Transportation Data Analytics Lead

Washington, DC · Hybrid

Overview ABOUT THE POSITION Transportation Data Analytics Lead - Transportation Engineering Locations: Hybrid work model with flexibility to work from any VHB office within our footprint. Explore our ...

Capital One

Lead Data Engineer

Mclean, VA · On-site

$103K - $136K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Alpha Omega

Data Analytics Lead

Washington, DC · On-site

$80K - $115K/yr

Job Title: Data Analytics Lead Clearance Required: Public Trust - Federal Client requires US ... BA/BS in Computer Science, Engineering, or similar degree. Salary and Benefit Information: The ...

SMX

Data Analytics Analyst (5615)

Arlington, VA

We are looking for a skilled Data Analytics Engineer to join our team. You will build and support enterprise reporting tools using Oracle Analytics and Budget formulation software. Your work will ...

New

CALIBRE

Lead Data Scientist

Alexandria, VA · On-site

The Lead Data Scientist will serve as a trusted advisor to government stakeholders, translating ... analysts, engineers, and other technical staff as needed, ensuring team members apply sound methods ...

CALIBRE Systems

Lead Data Scientist

Alexandria, VA · On-site

The Lead Data Scientist will serve as a trusted advisor to government stakeholders, translating ... analysts, engineers, and other technical staff as needed, ensuring team members apply sound methods ...

Calibre Systems

Lead Data Scientist

Alexandria, VA · On-site

The Lead Data Scientist will serve as a trusted advisor to government stakeholders, translating ... analysts, engineers, and other technical staff as needed, ensuring team members apply sound methods ...

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Lead Data Analytics Engineer information

What does a Lead Data Analytics Engineer do?

A Lead Data Analytics Engineer oversees the design, development, and maintenance of data analytics systems within an organization. They lead teams to build data pipelines, optimize data workflows, and ensure data quality and accessibility for business insights. Their role often involves collaborating with data scientists, analysts, and stakeholders to translate business requirements into technical solutions. Additionally, they are responsible for setting best practices, mentoring team members, and staying updated with emerging technologies in data engineering.

What are the key skills and qualifications needed to thrive as a Lead Data Analytics Engineer?

To thrive as a Lead Data Analytics Engineer, you need advanced expertise in data modeling, statistical analysis, and programming, typically supported by a degree in computer science, statistics, or a related field. Mastery of tools such as SQL, Python, R, cloud platforms (like AWS or Azure), and data visualization software, along with certifications like AWS Certified Data Analytics or Google Professional Data Engineer, is highly valued. Strong leadership, problem-solving, and communication skills help you guide teams and translate complex data insights to stakeholders. These competencies are essential for delivering impactful analytics solutions and driving data-driven decision-making within organizations.

How does a Lead Data Analytics Engineer typically collaborate with cross-functional teams?

A Lead Data Analytics Engineer frequently partners with data scientists, business analysts, and software engineers to design and implement scalable analytics solutions. They often act as a bridge between technical teams and business stakeholders, translating business requirements into actionable data models and pipelines. Effective communication and project management skills are crucial in ensuring alignment on goals, timelines, and deliverables. Regular meetings and agile workflows are common, fostering a collaborative environment that supports innovation and timely project delivery.

What is the difference between Lead Data Analytics Engineer vs Data Scientist?

AspectLead Data Analytics EngineerData Scientist
CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; certifications like AWS, Azure, or Google CloudBachelor's or Master's in Data Science, Statistics, or related fields; similar certifications
Work EnvironmentFocus on data infrastructure, pipelines, and analytics tools; often in engineering teamsFocus on statistical modeling, machine learning, and data interpretation; often in research or analytics teams
Employer & Industry UsageUsed in tech, finance, healthcare for building data systems and analytics platformsUsed across industries for predictive modeling, research, and insights generation

The main difference is that Lead Data Analytics Engineers primarily focus on building and maintaining data infrastructure and analytics pipelines, while Data Scientists concentrate on analyzing data, creating models, and deriving insights. Both roles require strong technical skills and often overlap, but their core responsibilities differ in scope and focus.

What cities in Washington are hiring for Lead Data Analytics Engineer jobs?

Cities in Washington with the most Lead Data Analytics Engineer job openings:

Infographic showing various Lead Data Analytics Engineer job openings in Washington as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 71% In-person, 2% Hybrid, and 27% Remote job distribution.

Lead Data Architect - Aviation Analytics

Herndon, VA • On-site

Peraton
IT Services • 10K+ employees
Learn more about Peratonexternal

$146K - $234K/yr

Full-time

Re-posted 27 days ago

Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

Job description

Responsibilities

Peraton Labs is seeking a Lead Data Architect - Aviation Analytics to support FAA BNATCS CTO in identifying, acquiring, modernizing, integrating, and operationalizing data required for advanced analytics, visualization, and agentic AI-enabled workflows. This role will serve as a senior data leader across FAA BNATCS and Peraton Labs data streams and will help ensure that the Digital Command Center (DCC) is built on a strong data foundation. The ideal candidate combines strategic data leadership with practical experience in multi-domain data environments, ETL, and data fusion.

Within this role you will define the data backbone behind advanced analytics and AI-enabled mission support. You will play a critical role in ensuring the right data is available, usable, and ready to support highly visible capabilities that inform decision-making and modernization at scale.

Key responsibilities may include:

  • Lead data strategy and execution supporting DCC and CTO-driven capabilities
  • Identify, assess, and prioritize data sources needed to support analytics, visualization, and AI-enabled workflows
  • Coordinate data acquisition efforts across internal teams, stakeholders, and program partners
  • Define and improve approaches for data fusion, modernization of data capture, and data pipeline readiness
  • Guide ETL and data preparation efforts needed to support dashboards, analytics models, and downstream AI/ML use cases
  • Partner with systems, software, and analytics teams to align data architecture with mission needs
  • Help identify data gaps, dependencies, quality issues, and integration challenges affecting program success.
Qualifications

Required Qualifications

  • Minimum of 12+ years of relevant experience in data engineering, software engineering, aerospace, systems engineering, systems/enterprise architecture, or related fields
  • Experience leading data-focused initiatives in complex technical or operational environments
  • Demonstrated experience with data identification, data acquisition, ETL, and multi-source data integration
  • Experience with advanced data analysis and data fusion
  • Familiarity with modern data capture, transformation, and preparation approaches that support advanced analytics
  • Ability to work across multiple teams and stakeholders to align data efforts with mission objectives
  • US Citizenship with ability to obtain/maintain an FAA Public Trust suitability
  • Must be local and able to commute to one of our following locations: Annapolis Junction, MD, Bowie, MD, or Herndon, VA.

Desired Qualifications

  • Experience with synthetic data generation
  • Familiarity with FAA systems or aviation operational data environments
  • Experience supporting analytics platforms, dashboards, AI/ML pipelines, or decision-support systems
  • Knowledge of metadata, lineage, governance-aware data practices, or data architecture strategy
  • Experience with cloud data platforms, APIs, and modern data engineering ecosystems
Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range$146,000 - $234,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Employment Type: FULL_TIME

What Peraton employees say

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Benefits

Hours and flexibility

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017

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